Lead and drive innovation across cloud, On-premises and hybrid environments as the technical owner for GenAI driven initiatives
Job Summary
Lead and drive innovation across cloud, On-premises and hybrid environments as the technical owner for GenAI driven initiatives.
Define end‑to‑end architecture for GenAI, Agentic AI and LLM‑powered platforms, establishing architectural patterns for RAG pipelines, LLM inference, and multi-agent orchestration.
Mentor engineering teams and contribute to architecture guilds, AI communities and enterprise AI accelerators.
Matching Summary
Lead and drive innovation across cloud, On-premises and hybrid environments as the technical owner for GenAI driven initiatives.
Skills & Requirements
Must-have
GenAI Agentic AI solutions
enterprise-grade AI/ML applications
RAG pipelines, LLM inference
AWS Bedrock, SageMaker, Lambda
Responsible AI, guardrails
Large Language Models, vector DBs
integrating AI into enterprise systems
Nice-to-have
financial services experience
REST APIs, JSON/XML
CI/CD tools, cloud-native architectures
stakeholder management skills
Barclays Values and Mindset
Key Requirements
Bachelor’s degree in computer science, Information Technology or Engineering
Professional experience in financial services and technology firms